Literature DB >> 23683158

Percentage reduction of depression severity versus absolute severity after initial weeks of treatment to predict final response or remission.

Ching-Hua Lin1, Cheng-Chung Chen, Fu-Chiang Wang, Hsien-Yuan Lane.   

Abstract

AIM: Percentage reduction of depression severity has been used to predict both response and remission of major depression. We aimed to compare the accuracy to predict response or remission by percentage reduction of depression score or depression score after initial weeks of treatment.
METHODS: The subjects were 126 depressed inpatients who received 20 mg/day fluoxetine for 6 weeks. Symptom severity was assessed using the 17-item Hamilton Depression Rating Scale (HAMD-17). Response was defined as a reduction of 50% or more of the HAMD-17. Remission was defined as a score of ≤7 of the HAMD-17. At weeks 1, 2, 3 and 4, the percentages of HAMD-17 score reduction, the percentages of mood cluster score reduction, HAMD-17 scores, and mood cluster scores were regarded as potential predictors. The receiver operating characteristic curve was applied to determine the cut-off point of predictors at weeks 1, 2, 3, and 4.
RESULTS: One-hundred and seven patients completed the 6-week trial. At weeks 1, 2, 3, and 4, percentages of HAMD-17 score reduction or HAMD-17 scores were the best predictors of responder or remitters, respectively. Using the percentage of HAMD-17 score reduction at each assessment as a predictor of response generated a larger area under the curve than other predictors. Conversely, applying the absolute HAMD-17 score at each assessment as a predictor of remission had the largest area under the curve.
CONCLUSION: Applying percentage of reduction in depression severity during the early weeks of treatment can predict response, and it is reasonable to apply depression severity to predict remission.
© 2013 The Authors. Psychiatry and Clinical Neurosciences © 2013 Japanese Society of Psychiatry and Neurology.

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Year:  2013        PMID: 23683158     DOI: 10.1111/pcn.12046

Source DB:  PubMed          Journal:  Psychiatry Clin Neurosci        ISSN: 1323-1316            Impact factor:   5.188


  3 in total

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